Building Synonym Set for Indonesian WordNet using Commutative Method and Hierarchical Clustering

Authors

  • Valentino Rossi Fierdaus Telkom University, Bandung
  • Moch Arif Bijaksana Telkom University, Bandung
  • Widi Astuti Telkom University, Bandung

DOI:

https://doi.org/10.30865/mib.v4i3.2254

Keywords:

WordNet, Synset, Indonesian Thesaurus, Agglomerative Hierarchical Clustering, F-Measure

Abstract

WordNet is a compilation of Synonyms Set (synset), which consists of the words that have the same synonymous. The development of Indonesian WordNet has a goal to build an application that can accommodate and exhibit the relation of words. Synonym Set is a set composed of one or more words that have a similar meaning or synonym relation originated from the Indonesian Thesaurus. In previous studies, the establishment of synsets were transmitted with several approaches, one of which was the cluster ring to produce synsets and WSD (Word Sense Disambiguation). In this research, research is held up to discover the semantic similarities between words in the Indonesian Thesaurus automatically, and also to know the performance of the Agglomerative Hierarchical Clustering method for the development of Indonesian synsets. To calculate performance and evaluation, this research is using the F-measure method involving the gold standard

Author Biographies

Valentino Rossi Fierdaus, Telkom University, Bandung

Faculty of Informatics, Bachelor of Informatics Engineering

Moch Arif Bijaksana, Telkom University, Bandung

Faculty of Informatics, Bachelor of Informatics Engineering

Widi Astuti, Telkom University, Bandung

Faculty of Informatics, Bachelor of Informatics Engineering

References

Gunawan, “Akuisisi Gloss Berbasis Ekstraksi Synonym Set Menggunakan Supervised Learning,†Institut Teknologi Sepuluh November, 2016.

A. Saputra and others, “Building synsets for Indonesian Wordnet with monolingual lexical resources,†in 2010 International Conference on Asian Language Processing, 2010, pp. 297–300.

G. A. Miller, “WordNet: a lexical database for English,†Commun. ACM, vol. 38, no. 11, pp. 39–41, 1995.

C. Fellbaum, “WordNet,†in Theory and applications of ontology: computer applications, Springer, 2010, pp. 231–243.

U. Indonesia, “WordNet Bahasa Indonesia,†2008. http://bahasa.cs.ui.ac.id/ (accessed Jul. 26, 2019).

H. Hendrik and A. B. Cahyono, “Model WordNet Bahasa Indonesia berbasis Linked Data,†J. Nas. Tek. Elektro dan Teknol. Inf., vol. 6, no. 1, pp. 8–14, 2017.

J. Priyatno, “Clustering Synonym Sets in English WordNet,†Universitas Telkom, 2018.

D. J. Restina, “Pembangunan Synonym Set untuk WordNet Bahasa Indonesia dengan Menggunakan Metode Komutatif,†Indo-JC, vol. 4, no. 2, 2019.

I. P. P. Ananda, “Pembangunan Synsets untuk WordNet Bahasa Indonesia dengan Metode Komutatif,†Universitas Telkom, 2018.

K. Sasirekha and P. Baby, “Agglomerative hierarchical clustering algorithm-a,†Int. J. Sci. Res. Publ., vol. 83, p. 83, 2013.

D. Müllner, “Modern hierarchical, agglomerative clustering algorithms,†no. 1973, pp. 1–29, 2011.

L. D. Anggaraini, “Analisis Pembangunan Word Sense pada WordNet Bahasa Indonesia Menggunakan Metode Hierarchical Clustering,†Bandung, 2019.

T. Redaksi, “Tesaurus Bahasa Indonesia Pusat Bahasa,†Pus. Bahasa, Dep. Pendidik. Nas., 2008.

Y. Nan, K. M. Chai, W. S. Lee, and H. L. Chieu, “Optimizing F-measure: A tale of two approaches,†arXiv Prepr. arXiv1206.4625, 2012.

D. R. Musicant, V. Kumar, A. Ozgur, and others, “Optimizing F-Measure with Support Vector Machines.,†in FLAIRS conference, 2003, pp. 356–360.

Downloads

Published

2020-07-20

Issue

Vol. 4 No. 3 (2020): Juli 2020

Section

Articles

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).